





"""simple docstring"""






import json
import logging
import os
import sys
from time import time
from unittest.mock import patch

from transformers.testing_utils import TestCasePlus, require_torch_tpu


logging.basicConfig(level=logging.DEBUG)

A			      =	logging.getLogger()

def      __A   (      a_    :Optional[Any])		->		Optional[Any]:
				__a			:    Union[str, Any]      							=	{}
				__a			:    Any      							=	os.path.join(a__ ,							'''all_results.json''')
				if os.path.exists(a__):
								with open(a__ ,							'''r''') as f:
												__a			:    Optional[Any]      							=	json.load(a__)
				else:
								raise ValueError(F"""can\'t find {path}""")
				return results


A			      =	logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)






@require_torch_tpu
class 					__lowercase      (      a_				):







					'''simple docstring'''




					def 			_lowerCamelCase		(    self  ):
									import xla_spawn

									__a			:    List[Any]      							=	self.get_auto_remove_tmp_dir()
									__a			:    Dict      							=	f"""
            ./examples/pytorch/text-classification/run_glue.py
            --num_cores=8
            ./examples/pytorch/text-classification/run_glue.py
            --model_name_or_path distilbert-base-uncased
            --output_dir {tmp_dir}
            --overwrite_output_dir
            --train_file ./tests/fixtures/tests_samples/MRPC/train.csv
            --validation_file ./tests/fixtures/tests_samples/MRPC/dev.csv
            --do_train
            --do_eval
            --debug tpu_metrics_debug
            --per_device_train_batch_size=2
            --per_device_eval_batch_size=1
            --learning_rate=1e-4
            --max_steps=10
            --warmup_steps=2
            --seed=42
            --max_seq_length=128
            """.split()

									with patch.object(_lowercase						,      '''argv'''						,      _lowercase  ):
													__a			:    List[str]      							=	time()
													xla_spawn.main()
													__a			:    Optional[Any]      							=	time()

													__a			:    str      							=	get_results(_lowercase  )
													self.assertGreaterEqual(result['''eval_accuracy''']						,      0.7_5  )

													# Assert that the script takes less than 500 seconds to make sure it doesn't hang.
													self.assertLess(end - start						,      500  )







					def 			_lowerCamelCase		(    self  ):
									import xla_spawn

									__a			:    List[str]      							=	"""
            ./tests/test_trainer_tpu.py
            --num_cores=8
            ./tests/test_trainer_tpu.py
            """.split()
									with patch.object(_lowercase						,      '''argv'''						,      _lowercase  ):
													xla_spawn.main()


__snake_case				:      int   		=			[
    """Audio""",
    """Array2D""",
    """Array3D""",
    """Array4D""",
    """Array5D""",
    """ClassLabel""",
    """Features""",
    """Sequence""",
    """Value""",
    """Image""",
    """Translation""",
    """TranslationVariableLanguages""",
]
from .audio import Audio
from .features import ArrayaD, ArrayaD, ArrayaD, ArrayaD, ClassLabel, Features, Sequence, Value
from .image import Image
from .translation import Translation, TranslationVariableLanguages


